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AI Machine Learning EngineerThe Hartford • Hartford, Connecticut, United States
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AI Machine Learning Engineer

The Hartford
  • US
    Hartford, Connecticut, United States
  • US
    Hartford, Connecticut, United States
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À propos

AI Machine Learning Engineer Data Engineer - GE08AE. The Hartford is seeking an AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The role focuses on designing, building, and operationalizing production‑grade AI solutions while partnering closely with product, engineering, and platform leaders to deliver measurable impact. Responsibilities Research, experiment with, and implement suitable generative and ML algorithms, tools and technologies. Participate in identifying and assessing opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage. Accountable for deployment design, development and maintenance of both traditional ML and AI models. Collaborate with partners in Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams. Deliver critical milestones for model deployment in the AWS and GCP cloud environments. Adopt and promote MLOps best practices to the Data Science community. Minimum Requirements Must be authorized to work in the U.S. now and in the future. 1+ years of equivalent experience in a research or DevOps function. Development experience within AWS, GCP or both. Exposure to developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns. Familiarity with building and deploying API services within the Cloud. Familiarity building CICD pipelines using Jenkins or equivalent. Exposure to infrastructure as code (IAC) including Cloud Formation, Terraform, or equivalents. Experience in Unix, git, and strong object‑oriented development experience using Python. Exposure to workflow automation platforms (Apache Airflow, Autosys, similar). Basic understanding of Data Science model development life cycle. Familiarity with emerging data‑centric technologies such as generative AI, agentic workflows, and embedding LLMs into automated processes. This role will have a hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the U.S. without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The annualized base pay range for this role is: $100,960 - $151,440. Actual base pay may vary based on performance and proficiency. Equal Opportunity Employer Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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  • Hartford, Connecticut, United States

Compétences linguistiques

  • English
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